ANEC: Artificial Named Entity Classifier based on BI-LSTM for an AI-based Business Analyst

Business users across enterprises today rely on reports and dashboards created by IT organizations to understand the dynamics of their business better and get insights into the data. In many cases, these users are underserved and do not possess the technical skillset to query the data source to get the information they need. There is a need for users to access information in the most natural way possible. AI-based Business Analysts are going to change the future of business analytics and business intelligence by providing a natural language interface between the user and data. This natural language interface can understand ambiguous questions from users, the intent and convert the same into a database query. One of the important elements of an AI-based business analyst is to interpret a natural language question. It also requires identification of key business entities within the question and relationship between them to generate insights. The Artificial Named Entity Classifier (ANEC) helps us take a huge step forward in that direction by not only identifying but also classifying entities with the help of the sequence recognising prowess of BiLSTMs.

Customer Segmentation using RFM Model and K-Means Clustering

Today as the competition among marketing companies, retail stores, banks to attract newer customers and maintain the old ones is in its peak, every company is trying to have the customer segmentation approach in order to have upper hand in competition. So Our project is based on such customer clustering method where we have collected, analyzed, processed and visualized the customer’s data and build a data science model which will help in forming clusters or segments of customers using the k-means clustering algorithm and RFM model (Recency Frequency Monetary) for already existing customers. The input dataset we used is UK’s E-commerce dataset from UCI repository for Machine Learning which is based on customer’s purchasing behavioral. At the very simple the customer clusters would be like super customer, intermediate customers, customers on the verge of churning out based on RFM score .Along with this we also have created a web model where an e-commerce startup or e-commerce business analyst can analyze their own customers based on model we created .So using this it will be easy to target customers accordingly and achieve business strength by maintaining good relationship with the customers .

A mathematical model to evaluate return on investment in higher education

Subject. The article assesses the effectiveness of investments in higher education. Objectives. The aim is to assess the performance of investments in higher education for a Master’s student at the Peter the Great St. Petersburg Polytechnic University, in the field of Economics, Business Analyst Specialty. Methods. The methodology, presented in the study, includes three stages. The first assesses the demand for skills, the second assesses how the supply of skills match the demand, and the third – the effectiveness of investments in higher education, based on the developed mathematical model, scenario analysis, and decision tree. Results. We revealed that for a business analyst, the most important categories of skills are project management, decision-making, organizational competencies, communication, and knowledge of corporate software. The most required skills in these categories are the knowledge of business processes, project documentation, systems thinking, teamwork, communication, and well-bred speech. The analysis of correspondence between the competencies required by employers and those acquired in the training process showed that Master’s graduates meet the demand for the position of a business analyst in the labor market by 69%. Conclusions. The evaluation of the effectiveness of investment in higher education for a Master’s student of the Peter the Great St. Petersburg Polytechnic University, in the field of Economics, Business Analyst Specialty, shows that it is more profitable for a Bachelor graduate to continue studying for a Master's degree, rather than go straight to work.

Business intelligence as a decision support system tool

The relevance of the topic considered in the article is to solve the problems of designing management decision support systems for enterprises based on business analytics technology. The research purpose is to analyze the applied methodologies during the design stage of the enterprise information system, to develop principles for using management decision support systems based on business intelligence. The problem statement is to analyze the technologies available on the market, which deal with business analyst systems, their potential use for decision support systems, and to identify the main stages of business analyst for enterprises. Business intelligence (BI) is information that can be obtained from data contained in the operational systems of a firm, enterprise, corporation, or from external sources. The BI can help the management of a company make the best decision in the chosen sphere of human activity faster, and, consequently, win the competition in the market for goods and services. A decision support system (DSS) which uses business intelligence, is an automated structure designed to assist professionals in making decisions in a complex environment and to objectively analyze a subject area. The decision support system is the result of the integration of management information systems and database management systems (DBMS). The internal development of BI is more cost-effective. The methods used are Structured Analysis and Design Technique and Object-oriented methods. The results of the research: the analysis of the possibilities was conducted and recommendations relating to the use of BI within DSS were given. Competition between BI software in business analysts reduces the cost of products created making them accessible to end-users – producers, traders and corporations.

A Literature Review and Overview of Performance Management: A Guide to the Field

The underlining presupposition and the supposition of performance management as a study field have been controversial or have a non-defined concept ever since the field was introduced to the mainstream economy. The paper covers the concept of performance management as a business analyst, scrum master, archeologist, and leader. The research delves into the founding history of performance management and analyzes critical performance management tools. Our findings show that performance management should be seen, managed, and played as an infinite game while creating incentives for the players who will, in turn, drive productivity in any industry.

PECULIARITIES OF USING BUSINESS ANALYSIS TECHNIQUES IN ADMINISTRATIVE MANAGEMENT DURING THE COVID PANDEMIC-19

The current state of motor transport enterprises, which is characterized by negative dynamics of development in all sectors of the transport sector, is studied. The research of scientific works determined the direction of the article and the object of research was business processes in administrative management. That is, it is impossible not to agree with the authors to solve the crisis of modern enterprises. It should be noted that all of them are solved through the mechanisms of the administrative management system. Therefore, it became necessary to form conceptual features of the use of business analyst in administrative management during the Covid pandemic 19. Modern approaches to administrative management are considered, providing reliable administrative management of the motor transport enterprise. Management of business processes in motor transport enterprises of business provides their constant improvement and optimization therefore the most important tools of process management are approaches and methods of improvement of business processes managed by administrative management systems. The researched approaches are aimed at identifying duplication of functions, bottlenecks, cost centers, quality of individual operations, missing information, the possibility of automation and quality management. The main directions and software products for automation of business processes in the system of administrative management are established. It is proved that the holistic application of approaches and elements of business analyst in the administrative management of the enterprise will lead to great chances of maintaining the competitiveness of motor transport enterprises and ways out of the post-crisis crisis. The measures of administrative management concerning improvement of activity of the motor transport enterprises are offered. Therefore, in order for trucking companies to develop and differ from their competitors in the level of services provided and the level of comfort, in the critical conditions of the COVID-19 pandemic it is necessary to radically change the methods of administrative management, ie reengineer business processes.

FEATURES OF THE APPLICATION OF GAME THEORY IN THE ECONOMIC ACTIVITY OF ECONOMIC ENTITIES

Today, there are a huge number of different tools that help reduce risks, but the problem is that they rely on classical probability theory, statistics, etc. These methods can be effective, but they do not take into account the interaction of market participants, psychological characteristics. These problems entail an increase in risks and, as a result, a drop in income and other difficulties. Often, to solve such problems, a business analyst turns to such a branch of mathematics as game theory. Game theory refers to a mathematical method that looks for optimal strategies in the course of a game, and a game refers to a situation in which there are two or more participants who are fighting to defend their interests. A special advantage of game theory is to take into account the struggle of interests of each party, this helps to better understand the current situation and find the optimal solution plan for the real processes taking place in the economy of an economic entity.

Development of a BI application. Moving from a business idea to formulation of the problem

Development of BI applications and, in general, Business Intelligence are no longer new concepts for the market. Nevertheless, there is practically no literature of practical significance. This article is aimed at analyzing the author’s practical experience with the generation of conclusions and specific advice for a novice business analyst to use in his work. Inexperienced professionals just starting their careers in BI can face a variety of challenges, especially when dealing with business customers and developers. Therefore, the article pays special attention to the description of research objects and their correct interaction with each other. It also provides a detailed analysis of the initial stages: from the customer’s need to develop an application to setting clear detailed requirements for the contractor. The result of this work was the proposed methodology for step-by-step work and analysis of the difficulties that may be encountered on the way of the “newly minted” business analyst.